AI/ML Engineer

Job Description – AI/ML Engineer – Generative AI & LLM

Job Title: AI/ML Engineer – Generative AI
Experience: 3–6 Years
Employment Type: Full-Time

Job Summary

We are looking for an experienced AI/ML Engineer with strong expertise in Generative AI, Large Language Models (LLMs), RAG, and Machine Learning. The ideal candidate should have hands-on experience developing and deploying AI solutions using Python, Azure OpenAI, LangChain, Semantic Kernel, Databricks, MLflow, and MLOps practices.

Key Responsibilities

• Design, develop, and deploy Generative AI and LLM-based applications.
• Build RAG (Retrieval-Augmented Generation) pipelines using embeddings, vector search, document processing, and semantic retrieval.
• Develop AI/ML solutions using Python and machine learning frameworks.
• Work with Azure OpenAI to integrate and customize LLM-based solutions.
• Develop LLM applications and AI workflows using LangChain and Semantic Kernel.
• Implement prompt engineering, evaluation, optimization, and LLM application best practices.
• Build and maintain MLOps pipelines for model development, deployment, monitoring, and lifecycle management.
• Use Databricks for data processing, machine learning, and AI workloads.
• Implement experiment tracking, model management, and deployment workflows using MLflow.
• Collaborate with data engineers, software developers, and business teams to integrate AI solutions into enterprise applications.
• Troubleshoot and optimize AI/ML models and applications for performance, scalability, reliability, and cost.
• Follow responsible AI, security, governance, and data privacy best practices.

Required Technical Skills

• Python
• Generative AI & LLMs
• RAG Architecture
• Machine Learning
• Azure OpenAI
• LangChain
• Semantic Kernel
• MLOps
• Databricks
• MLflow
• Prompt Engineering
• Embeddings & Vector Search
• Model Evaluation and Optimization
• REST APIs and AI application integration

Good to Have

• Experience with Azure AI services and cloud-based AI architectures.
• Knowledge of vector databases such as Azure AI Search, Chroma, Pinecone, or FAISS.
• Experience with LLM evaluation, guardrails, and Responsible AI.
• Knowledge of CI/CD and DevOps practices for AI/ML workloads.
• Experience working in enterprise AI projects.

Education

Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

Work Location: Remote